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Experiments

Sorting 63,000 emails

WOW 🤯 i just used Jev + @agnt_gg to categorize 63,045 emails in less than 3 minutes for < $1 total runtime: 2 minutes 54 seconds input tokens: 23,430,692 output tokens: 4,528,206 total tokens: 27,958,898 estimated cost: $0.9841 this would have been hundreds $$$ in LLM costs

Added to Jevfast
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How it uses Jev

Input: a large email collection. Jev and Agnt are reported to categorize the messages, but the categories and how the caller uses them are not stated. Exact Jev request and answer shape are undisclosed.

Why it is interesting

The use case is batch organization of a large inbox. The post reports the run but does not explain the category schema or resulting workflow.

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